# Util Make Select 2 Analysis generated on: 4/2/2025 10:14:55 AM --- ## SQL Statement ```sql SELECT [Util Selection 1].prt AS prt, First([Util Selection 1].Rev) AS Rev, First([Util Selection 1].PartNumber) AS PartNumber, First([Util Selection 1].Flag) AS Flag, First([Util Selection 1].FirstDim) AS FirstDim, First([Util Selection 1].SecDim) AS SecDim, First([Util Selection 1].PartHeight) AS PartHeight, First([Util Selection 1].PartWidth) AS PartWidth, First([Util Selection 1].MetalType) AS MetalType INTO [Util Selection 2] FROM [Util Selection 1] GROUP BY [Util Selection 1].prt; ``` ## Dependencies - *None* ## Parameters - *None* ## What it does **SQL Code Description** ========================== ### Overview This SQL code performs a grouping operation on a table named `[Util Selection 1]`. It selects the first occurrence of specific columns and groups the results by a unique identifier (`[Util Selection 1].prt`). ### Column Selection and Aggregation The code selects the following columns from the `[Util Selection 1]` table: * `prt`: The primary key or unique identifier for each group. * `Rev`, `PartNumber`, `Flag`, `FirstDim`, `SecDim`, `PartHeight`, and `PartWidth`: The first occurrence of these columns are selected using the `First()` function. This means that if there are multiple rows with the same value for any of these columns, only the first one is included in the result. * `MetalType`: The first occurrence of this column is also selected. ### Grouping and Result The code groups the results by the unique identifier (`[Util Selection 1].prt`). This means that all columns are aggregated within each group based on the value of `[Util Selection 1].prt`. ### Output The result is stored in a new table named `[Util Selection 2]`. The structure and contents of this table will be determined by the values present in the original table. ### Example Use Case This SQL code can be used to perform an "analysis of similar" operation on data, where you want to examine each distinct value for a certain column (in this case, `[Util Selection 1].prt`) and take the first occurrence of other columns related to that group.